Cover Image

ImmunoFOMO: Are Language Models missing what oncologists see?

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sinha, Aman, Popescu, Bogdan-Valentin, Coubez, Xavier, Clausel, Marianne, Constant, Mathieu
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Domain-specific or Uncertainty-aware models: Does it really make a difference for biomedical text classification?
by: Sinha, Aman, et al.
Published: (2024)

Retrieve, Generate, Evaluate: A Case Study for Medical Paraphrases Generation with Small Language Models
by: Buhnila, Ioana, et al.
Published: (2024)

TrackList: Tracing Back Query Linguistic Diversity for Head and Tail Knowledge in Open Large Language Models
by: Buhnila, Ioana, et al.
Published: (2025)

No Imputation Needed: A Switch Approach to Irregularly Sampled Time Series
by: Agarwal, Rohit, et al.
Published: (2023)

Risk prediction of pathological gambling on social media
by: Parfenova, Angelina, et al.
Published: (2024)

Are Small Language Models Ready to Compete with Large Language Models for Practical Applications?
by: Sinha, Neelabh, et al.
Published: (2024)

Your Model is Overconfident, and Other Lies We Tell Ourselves
by: Mickus, Timothee, et al.
Published: (2025)

Guiding Vision-Language Model Selection for Visual Question-Answering Across Tasks, Domains, and Knowledge Types
by: Sinha, Neelabh, et al.
Published: (2024)

Evaluation of Geographical Distortions in Language Models
by: Decoupes, Rémy, et al.
Published: (2024)

Improving Language Models for Emotion Analysis: Insights from Cognitive Science
by: Bonard, Constant, et al.
Published: (2024)

Conversion of Lexicon-Grammar tables to LMF. Application to French
by: Laporte, Eric, et al.
Published: (2026)

I see what you mean: Co-Speech Gestures for Reference Resolution in Multimodal Dialogue
by: Ghaleb, Esam, et al.
Published: (2025)

Conversational Agents and the Understanding of Human Language: Reflections on AI, LLMs, and Cognitive Science
by: Popescu-Belis, Andrei
Published: (2026)

Chain-of-Thought Reasoning Improves Context-Aware Translation with Large Language Models
by: Ataee, Shabnam, et al.
Published: (2025)

QA-prompting: Improving Summarization with Large Language Models using Question-Answering
by: Sinha, Neelabh
Published: (2025)

A Study of Privacy-preserving Language Modeling Approaches
by: Saha, Pritilata, et al.
Published: (2025)

neuralFOMO: Can LLMs Handle Being Second Best? Measuring Envy-Like Preferences in Multi-Agent Settings
by: Ramamoorthy, Arnav, et al.
Published: (2025)

LogicDiff: Logic-Guided Denoising Improves Zero-Shot Reasoning in Masked Diffusion Language Models
by: Aman, Shaik
Published: (2026)

Machine Translation for Ge'ez Language
by: Wassie, Aman Kassahun
Published: (2023)

Do Large Language Models know who did what to whom?
by: Denning, Joseph M., et al.
Published: (2025)

Measuring what Matters: Construct Validity in Large Language Model Benchmarks
by: Bean, Andrew M., et al.
Published: (2025)

What am I missing here?: Evaluating Large Language Models for Masked Sentence Prediction
by: Wyatt, Charlie, et al.
Published: (2025)

AfriNLLB: Efficient Translation Models for African Languages
by: Moslem, Yasmin, et al.
Published: (2026)

Demystifying Singular Defects in Large Language Models
by: Wang, Haoqi, et al.
Published: (2025)

Leveraging Large Language Models for Web Scraping
by: Ahluwalia, Aman, et al.
Published: (2024)

Leveraging Large Language Models for Predictive Analysis of Human Misery
by: Seal, Bishanka, et al.
Published: (2025)

Speech-to-Speech Translation Pipelines for Conversations in Low-Resource Languages
by: Popescu-Belis, Andrei, et al.
Published: (2025)

Domain-Specific Translation with Open-Source Large Language Models: Resource-Oriented Analysis
by: Wassie, Aman Kassahun, et al.
Published: (2024)

Evaluation of Clinical Trials Reporting Quality using Large Language Models
by: Laï-king, Mathieu, et al.
Published: (2025)

GMLM: Bridging Graph Neural Networks and Language Models for Heterophilic Node Classification
by: Sinha, Aarush
Published: (2025)

olmOCR: Unlocking Trillions of Tokens in PDFs with Vision Language Models
by: Poznanski, Jake, et al.
Published: (2025)

The Heap: A Contamination-Free Multilingual Code Dataset for Evaluating Large Language Models
by: Katzy, Jonathan, et al.
Published: (2025)

Do Language Models Agree with Human Perceptions of Suspense in Stories?
by: Matlin, Glenn, et al.
Published: (2025)

Transfer Learning for Text Diffusion Models
by: Han, Kehang, et al.
Published: (2024)

Comparison of Large Language Models for Deployment Requirements
by: Yaman, Alper, et al.
Published: (2025)

ARWKV: Pretrain is not what we need, an RNN-Attention-Based Language Model Born from Transformer
by: Yueyu, Lin, et al.
Published: (2025)

On Context Utilization in Summarization with Large Language Models
by: Ravaut, Mathieu, et al.
Published: (2023)

Evaluating Nuanced Bias in Large Language Model Free Response Answers
by: Healey, Jennifer, et al.
Published: (2024)

Breaking Language Barriers: A Question Answering Dataset for Hindi and Marathi
by: Sabane, Maithili, et al.
Published: (2023)

Vision-Language Models Align with Human Neural Representations in Concept Processing
by: Bavaresco, Anna, et al.
Published: (2024)